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Improving Object Detectors by Exploiting Bounding Boxes for Augmentation Design., , , , and . IEEE Access, (2023)Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation., , , and . CoRR, (2022)Multiple Subspace Alignment Improves Domain Adaptation., , , and . CoRR, (2018)Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning., , , , and . CoRR, (2019)Domain Alignment Meets Fully Test-Time Adaptation., , and . ACML, volume 189 of Proceedings of Machine Learning Research, page 1006-1021. PMLR, (2022)Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration., , , and . CoRR, (2020)Improving Single-Stage Object Detectors for Nighttime Pedestrian Detection., and . Int. J. Pattern Recognit. Artif. Intell., 36 (9): 2250034:1-2250034:23 (2022)The Surprising Effectiveness of Deep Orthogonal Procrustes Alignment in Unsupervised Domain Adaptation., , , and . IEEE Access, (2023)Improving Multi-Domain Generalization through Domain Re-labeling., , , , and . CoRR, (2021)MaAST: Map Attention with Semantic Transformers for Efficient Visual Navigation., , , , , and . ICRA, page 13223-13230. IEEE, (2021)